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| author | jeremiedbb <34657725+jeremiedbb@users.noreply.github.com> | 2019-08-01 23:43:33 +0200 |
|---|---|---|
| committer | Sebastian Berg <sebastian@sipsolutions.net> | 2019-08-01 14:43:33 -0700 |
| commit | 22fe5427be1f3a0b186d01a09ff46092a42a0aa1 (patch) | |
| tree | 2330122f5a198787626184ad3e11c219c79222bb /numpy/core | |
| parent | ee309d9bc6f1b4995397f95c1e279bdd977051ad (diff) | |
| download | numpy-22fe5427be1f3a0b186d01a09ff46092a42a0aa1.tar.gz | |
BUG: Make advanced indexing result on read-only subclass writeable (#14171)
Fancy indexing on read-only subclass makes a read-only copy. This PR avoids using the flags of the original array.
Fixes #14132
* do not use original array flags in fancy indexing
* Update numpy/core/tests/test_indexing.py
Co-Authored-By: Eric Wieser <wieser.eric@gmail.com>
Diffstat (limited to 'numpy/core')
| -rw-r--r-- | numpy/core/src/multiarray/mapping.c | 2 | ||||
| -rw-r--r-- | numpy/core/tests/test_indexing.py | 13 |
2 files changed, 14 insertions, 1 deletions
diff --git a/numpy/core/src/multiarray/mapping.c b/numpy/core/src/multiarray/mapping.c index add1143b2..9bb85e320 100644 --- a/numpy/core/src/multiarray/mapping.c +++ b/numpy/core/src/multiarray/mapping.c @@ -1699,7 +1699,7 @@ array_subscript(PyArrayObject *self, PyObject *op) PyArray_SHAPE(tmp_arr), PyArray_STRIDES(tmp_arr), PyArray_BYTES(tmp_arr), - PyArray_FLAGS(self), + PyArray_FLAGS(tmp_arr), (PyObject *)self, (PyObject *)tmp_arr); Py_DECREF(tmp_arr); if (result == NULL) { diff --git a/numpy/core/tests/test_indexing.py b/numpy/core/tests/test_indexing.py index f7485c3f7..70a5a246f 100644 --- a/numpy/core/tests/test_indexing.py +++ b/numpy/core/tests/test_indexing.py @@ -617,6 +617,19 @@ class TestSubclasses(object): assert_array_equal(s_bool, a[a > 0]) assert_array_equal(s_bool.base, a[a > 0]) + def test_fancy_on_read_only(self): + # Test that fancy indexing on read-only SubClass does not make a + # read-only copy (gh-14132) + class SubClass(np.ndarray): + pass + + a = np.arange(5) + s = a.view(SubClass) + s.flags.writeable = False + s_fancy = s[[0, 1, 2]] + assert_(s_fancy.flags.writeable) + + def test_finalize_gets_full_info(self): # Array finalize should be called on the filled array. class SubClass(np.ndarray): |